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通过结合二维和三维X射线血管造影术基于血管通过时间进行血流和流速估计。

Blood flow and velocity estimation based on vessel transit time by combining 2D and 3D X-ray angiography.

作者信息

Bogunović Hrvoje, Loncarić Sven

机构信息

Faculty of Electrical Engineering and Computing University of Zagreb, Unska 3, HR-10000 Zagreb, Croatia.

出版信息

Med Image Comput Comput Assist Interv. 2006;9(Pt 2):117-24.

PMID:17354763
Abstract

The X-ray imaging equipment could be used to measure hemodynamic function in addition to visualizing the morphology. The parameters of specific interest are arterial blood flow and velocity. Current monoplane X-ray systems can perform 3D reconstruction of the arterial tree as well as to capture the propagation of the injected contrast agent on a sequence of 2D angiograms. We combine the 2D digital subtraction angiography sequence with the mechanically registered 3D volume of the vessel tree. From 3D vessel tree we extract each vessel and obtain its centerline and cross-section area. We get our velocity estimation from 2D sequence by comparing time-density signals measured at different ends of the projected vessel. From the average velocity and cross-section area we get the average blood flow estimate for each vessel. The algorithm described here is applied to datasets from real neuroradiological studies.

摘要

X射线成像设备除了可以显示形态外,还可用于测量血流动力学功能。特别感兴趣的参数是动脉血流量和流速。当前的单平面X射线系统能够对动脉树进行三维重建,并在一系列二维血管造影图像上捕捉注入的造影剂的传播情况。我们将二维数字减影血管造影序列与机械配准的血管树三维容积相结合。从三维血管树中提取每根血管,并获取其中心线和横截面积。我们通过比较在投影血管不同端点处测量的时间-密度信号,从二维序列中获得速度估计值。根据平均速度和横截面积,我们得到每根血管的平均血流量估计值。这里描述的算法应用于来自实际神经放射学研究的数据集。

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